1 |
Herring, S. C., Kouper, I., Paolillo, J. C., Scheidt, L. A., Tyworth, M., Welsch, P., Wright, E., & Yu, N. (2005). Conversations in the blogosphere: An analysis "from the bottom up." In Sprague, R. H. (Ed.), Proceedings of the Thirty-Eighth Hawaii International Conference on System Sciences, (pp. 107b). Los Alamitos: IEEE Press.
|
2 |
Hogg, M. A., & Vaughan, G. M. (2005). Social psychology. Harlow: Pearson/Prentice Hall.
|
3 |
Kelman, H. C. (1958). Compliance, identification, and internalization: Three processes of attitude change. Journal of Conflict Resolution, 2(1), 51-60.
DOI
ScienceOn
|
4 |
Krackhardt, D. (1992). The strength of strong ties: The importance of philos in organizations, 216-239. Boston, MA: Harvard Business School Press.
|
5 |
Leskovec, J., Huttenlocher, D., & Kleinberg, J. (2010). Predicting positive and negative links in online social networks. In M. Rappa, P. Jones, J. Freire, & S. Chakrabarti (Eds.), Proceedings of the 19th International Conference on World Wide Web (pp. 641-650). New York, NY: ACM Press.
|
6 |
Li, H., Bhowmick, S. S., & Sun, A. (2011). CASINO: Towards conformity-aware social influence analysis in online social networks. In B. Berendt, A. Vires, W. Fan, C. Macdonald, I. Ounis, I. Ruthven (Eds.), Proceedings of the 20th ACM International Conference on Information and Knowledge Management (pp. 1007-1012). New York, NY: ACM Press.
|
7 |
Mackie, D. M. (1987). Systematic and nonsystematic processing of majority and minority persuasive communications. Journal of Personality and Social Psychology, 53, 41-52.
DOI
|
8 |
Matsumura, N., Yamamoto, H. & Tomozawa, D. (2008). Finding influencers and consumer insights in the blogosphere. In E. Adar, M. Hurst, T. Finin, N. Glance, N. Nicolov, & B. Tseng (Eds.), Proceedings of International Conference on Weblogs and Social Media (pp. 76-83). California CA: AAAI Press.
|
9 |
Milgram, S. (1963). Behavioral study of obedience. Journal of Abnormal and Social Psychology, 67, 371-378.
DOI
|
10 |
Adar, E., & Adamic, L. A. (2005). Tracking information epidemics in blogspace. In A. Skowron, R. Agrawal, M. Luck, T. Yamaguchi, P. Morizet- Mahoudeaux, J. Liu, & N. Zhong (Eds.), Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (pp. 207-214). Washington, DC: IEEE Computer Society.
|
11 |
Agarwal, N., & Liu, H. (2008). Blogosphere: Research issues, tools, and applications, SIGKDD Explorations Newsletter, 10(1), 18-31.
DOI
|
12 |
Agarwal, N., Liu, H., Tang, L., & Yu, P.S. (2008). Identifying the influential bloggers in a community. In M. Najork, A. Broder, & S. Chakrabarti (Eds.), Proceedings of the International Conference on Web Search and Web Data Mining (pp. 207- 218). New York, NY: ACM Press.
|
13 |
Agarwal, N., & Liu, H. (2009). Modeling and Data Mining in Blogosphere. San Rafael, CA: Morgan & Claypool.
|
14 |
Brehm, J. W. (1966). A theory of psychological reactance. Academic Press.
|
15 |
Cai, K. K., Bao, S. H., Yang, Z., Tang, J., Ma, R., Zhang, L., & Su, Z. (2011). OOLAM: An Opinion Oriented Link Analysis Model for influence persona discovery. In I. King, W. Nejdl, & H. Li (Eds.), Proceedings of the 4th International Conference on Web Search and Data Mining, (pp. 645-654). New York, NY: ACM Press.
|
16 |
Cialdini, R. B. (2001). Influence: Science and practice (4th ed.). Boston: Allyn & Bacon.
|
17 |
Tan, L. K. W., Na, J.-C., Theng, Y.-L., & Chang, K. Y. (2012a). Phrase-level sentiment polarity classification using rule-based typed dependencies and additional complex phrases consideration. Journal of Computer Sciences and Technology, 27(3), 650- 666.
DOI
|
18 |
Somasundaran, S., & Wiebe, J. (2010), Recognizing stances in ideological on-line debates. In D. Inkpen, & C. Strapparava (Eds.), Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text (pp. 116-124). Stroudsburg, PA: ACL.
|
19 |
Song, X., Chi, Y., Hino, K., & Tseng, B. (2007), Identifying opinion leaders in the blogosphere. In A.H.F. Laender, A. O. Falcao, O. H.Olsen, M. J. Silva, R. Baeza-Yates, D. L. McGuiness, & B. Olstad (Eds.), Proceedings of the 16th ACM Conference on Information and Knowledge Management (pp. 971-974). New York, NY: ACM Press.
|
20 |
Tan, L. K. W., Na, J.-C., & Theng, Y.-L. (2011). Influence detection between blog posts through blog features, content analysis, and community identity, Online Information Review, 35(3), 425-442.
DOI
ScienceOn
|
21 |
Tan, L. K. W., Na, J.-C., Theng, Y.-L., & Chang, K. Y. (2012b). Profiling Blog Sites Through an Influence Style (INFUSE) Model (Manuscript submitted for publication).
|
22 |
Wiebe, J., Wilson, T., Bruce, R., Bell, M., & Martin, M. (2004). Learning subjective language. Computational Linguistics, 30, 277-308.
DOI
ScienceOn
|
23 |
Wilson, T., Wiebe J., & Hoffmann P. (2005). Recognizing contextual polarity in phrase-level sentiment analysis. In R.J. Mooney, C. Brew, L-F. Chien, K. Kirchhoff (Eds.), Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (pp. 347-354). Stroudsburg, PA: ACL.
|
24 |
Costa, P. T., Jr., & McCrae, R. R. (1992). Normal personality assessment in clinical practice: The NEO personality inventory. Psychological Assessment, 4, 5-13.
DOI
|
25 |
Cialdini, R. B., & Goldstein, N. J. (2004). Social Influence: Compliance and conformity. Annual Review of Psychology, 55, 591-621.
DOI
ScienceOn
|
26 |
Cialdini, R. B., & Trost, M. R. (1998). Social influence: Social norms, conformity and compliance. In D.T. Gilbert, & S.T. Fiskel (Eds.). The handbook of social psychology (4th ed.), 2, 151-192. New York: McGraw- Hill.
|
27 |
Cohen, J. A. (1960). Coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37-46.
DOI
|
28 |
Ghosh, R., & Lerman, K. (2008). Community detection using a measure of global influence. In L. Giles, J. Yen, H. Foley, M. Smith, & H. Zhang (Eds.), Proceedings of the 2nd SNA-KDD Workshop on Social Network Mining and Analysis (pp. 20-35). Berlin, Heidelberg: Springer-Verlag.
|
29 |
Granovetter, M. S. (1973). The strength of weak ties. The American Journal of Sociology, 78(6), 1360- 1380.
DOI
ScienceOn
|
30 |
Gruhl, D., Guha, R., Liben-Nowell, D., & Tomkins, A. (2004). Information diffusion through blogspace. In S. Feldman, M. Uretsky, M. Najork, & C. Wills (Eds.), Proceedings of the 13th International Conference on World Wide Web (pp. 491-501). New York, NY: ACM Press.
|
31 |
Guadagno, R. E., Okdie, B. M., & Eno, C. A. (2008). Who blogs? Personality predictors of blogging. Computers in Human Behavior, 24(5), 1993-2004.
DOI
ScienceOn
|
32 |
Herring, S. C., Scheidt, L. A., Bonus, S., & Wright, E. (2004). Bridging the gap: A genre analysis of weblogs. In Sprague, R.H. (Ed.), Proceedings of the 37th Hawaii International Conference on System Sciences. Los Alamitos: IEEE Computer Society Press.
|